Commodities Price Outlook Based on Algo Trading: Returns up to 7.72% in 14 Days
Commodites Price Forecast for 3 days from July 20 2018 to July 23, 2018.
Commodities Price Forecast Based on Artificial Intelligence: Returns up to 11.15% in 1 Month
Several predictions in this long-term 1 Month forecast saw significant returns. The algorithm had correctly predicted 9 out 10 stock movements. SHFE_RB2 was the top performing prediction with a return of 11.15%. CME_HO1 and CME_RB1 saw outstanding returns of 7.09% and 6.75%. CME_WS1 and CME_CL1 saw outstanding returns of 5.82% both. Finally, ICE_CC5 gave outstanding return of 3.64%. The package had an overall average return of 4.25% during the period.
Daily Commodity Market Forecast Based on Machine Learning: Returns up to 11.39% in 1 Month
The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. SHFE_RB2 was the highest-earning trade with a return of 11.39% in 1 Month. Additional high returns came from ICE_CC1 and ICE_CC5, at 10.19% and 8.56% respectively. Finally, positive returns came from ICE_B1 and CME_HO1, at 7.08% and 6.63% respectively. The package had an overall average return of 5.94% during the period.
Trend Following Based on Artificial Intelligence: Returns up to 15.40% in 14 Days
Trend Following The left-hand graph shows the futures predictor forecast from April 23, 2018, which includes long and short recommendations. The green boxes are long signals while the red boxes are short signals. The right-hand side shows the returns of the suggested futures from April 23, 2018 to May 7, 2018. Package Name: Futures Forecast […]
Commodity Forecast Based on Artificial Intelligence: Returns up to 13.40% in 14 Days
I Know First’s State of the Art Algorithm accurately forecasted 10 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from ICE_OJ1 at 13.40%. CME_CL1 and CME_WS1 also performed well for this time horizon with returns of 1.96% and 1.93%, respectively. ICE_CC1 and ICE_CC% also performed well for this time horizon with returns of 1.82% and 1.09%, respectively. The package had an overall average return of 2.47% during the period.
Commodities Forecast Based on Artificial Intelligence: Returns up to 13.09% in 1 Month
10 out of 10 commodities prices in this forecast for the Commodities Package moved as predicted by the algorithm. ICE_CC1 was our best commodity pick this week a return of 13.09%. CME_CL1 and CME_WS1 followed with returns of 10.02% and 10.02% for the 1 Month period. The package had an overall average return of 6.75% during the period.
Commodities Price Outlook Based on Artificial Intelligence: Returns up to 5.94% in 14 Days
This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was SHFE_RB2 with a return of 5.94%. ICE_CC5, and CME_HO1 had notable returns of 5.71% and 3.20%. CME_RB1, and ICE_B1 had notable returns of 3.09% and 2.84%. ICE_KC1, and CME_W5 had notable returns of 2.60% both. The package had an overall average return of 2.83% during the period.
Commodity Forecast Based on Artificial Intelligence: Returns up to 6.60% in 3 Days
In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was CME_W1, which registered a return of 6.60%. Other notable stocks were ICE_OJ1 and ICE_IW1 with a return of 4.41% and 3.07%. Other notable stocks were ICE_CC1 and CME_LC1 with a return of 1.03% and 1.00%. The package had an overall average return of 1.50% during the period.
Commodities Price Forecast Based on Artificial Intelligence: Returns up to 10.90% in 7 Days
In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was ICE_OJ1, which registered a return of 10.90%. Other notable stocks were ICE_CC1 and CME_LC1 with a return of 3.71% and 3.69%. Other notable stocks were CME_HO1 and ICE_CC5 with a return of 2.09% and 0.95%. The package had an overall average return of 2.25% during the period.
Commodity Forecast Based on Genetic Algorithms: Returns up to 9.78% in 1 Month
I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 1 Month time period. The greatest return came from ICE_CC1 at 9.78%. CME_HO1 and CME_CL1 also performed well for this time horizon with returns of 6.76% and 5.78%, respectively. The package had an overall average return of 3.98% during the period.
Commodity Prediction Based on Artificial Intelligence: Returns up to 5.34% in 7 Days
The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. ICE_B1 was the highest-earning trade with a return of 5.34% in 7 Days. Additional high returns came from ICE_OJ1 and CME_LC1, at 3.70% and 3.37% respectively. Also, high returns came from CME_HO1 and ICE_CC5, at 2.77% and 2.32% respectively. The package had an overall average return of 1.54% during the period.
Commodites Price Forecast Based on Artificial Intelligence: Returns up to 8.44% in 1 Month
This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 8.44%. CME_HO1, and CME_CL1 had notable returns of 7.46% and 6.77%. The package had an overall average return of 3.89% during the period.
Commodity Forecast Based on Genetic Algorithms: Returns up to 5.03% in 7 Days
During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The prediction with the highest return was ICE_CC5, at 5.03%. Further notable returns came from CME_HO1 and ICE_CC1 at 3.35% and 2.98%, respectively. Finally, returns came from CME_RB1 and CME_CL1 at 2.32% and 1.55%, respectively. The package had an overall average return of 1.62% during the period.
Stock Market Trends Based on Genetic Algorithms: Returns up to 3.71% in 3 Days
This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ICE_CC1 with a return of 3.71%. CME_HO1, and CME_CL1 had notable returns of 1.51% and 1.48%. The package had an overall average return of 1.16% during the period.
Arbitrage Trading Based on Machine Learning: Commodities Futures Return up to 6.95% in 3 Days
Commodities Futures: The left-hand graph shows the commodities futures predictor forecast from March 20, 2018, which includes long and short recommendations. The green boxes are long signals while the red boxes are short signals. The right-hand side shows the returns of the suggested futures from March 20, 2018 to March 23, 2018. Package Name: Futures […]
Automated Commodities Trading Based on a Self-learning Algorithm: Returns up to 3.15% in 3 Days
Several predictions in this short-term 3 Days forecast saw significant returns. The algorithm had correctly predicted 10 out of 10 stock movements. ICE_CC1 was the top performing prediction with a return of 3.15%. ICE_CC5 and CME_SM1 saw outstanding returns of 3.03% and 2.55%. The package had an overall average return of 1.52% during the period.
Algo Trading Based on Machine Learning: Returns up to 12.89% in 14 Days
The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. ICE_CC1 was the highest-earning trade with a return of 12.89% in 14 Days. Additional high returns came from CME_SM1 and CME_SM4, at 8.02% and 6.61% respectively. The package had an overall average return of 3.40% during the period.
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